lengning/EBSeqHMM: Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments
The EBSeqHMM package implements an auto-regressive hidden Markov model for statistical analysis in ordered RNA-seq experiments (e.g. time course or spatial course data). The EBSeqHMM package provides functions to identify genes and isoforms that have non-constant expression profile over the time points/positions, and cluster them into expression paths.
Getting started
Browse package contents
Package details |
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| Author | Ning Leng, Christina Kendziorski |
| Bioconductor views | Bayesian DifferentialExpression GeneExpression HiddenMarkovModel MultipleComparison RNASeq Sequencing StatisticalMethod TimeCourse |
| Maintainer | Ning Leng <lengning1@gmail.com> |
| License | Artistic-2.0 |
| Version | 1.5.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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